Fifth Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'12) CIKM 2012 Workshop

Open Access
Authors
  • J. Kamps ORCID logo
  • J. Karlgren
  • P. Mika
  • V. Murdock
Publication date 2012
Book title CIKM’12
Book subtitle the proceedings of the 21st ACM International Conference on Information and Knowledge Management : October 29–November 2, 2012 Maui, Hawaii, USA
ISBN (electronic)
  • 9781450311564
Event 21st ACM International Conference on Information and Knowledge Management, CIKM 2012
Pages (from-to) 2772-2773
Number of pages 2
Publisher New York, NY: Association for Computing Machinery
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract

There is an increasing amount of structure on the Web as a result of modern Web languages, user tagging and annotation, emerging robust NLP tools, and an ever growing volume of linked data. These meaningful, semantic, annotations hold the promise to significantly enhance information access, by enhancing the depth of analysis of today's systems. Currently, we have only started exploring the possibilities and only begin to understand how these valuable semantic cues can be put to fruitful use. To complicate matters, standard text search excels at shallow information needs expressed by short keyword queries, and here semantic annotation contributes very little, if anything. The main questions for the workshop are how to leverage the rich context currently available, especially in a mobile search scenario, giving powerful new handles to exploit semantic annotations. And how can we fruitfully combine information retrieval and semantic web approaches, and for the first time work actively toward a unified view on exploiting semantic annotations.

Document type Conference contribution
Language English
Related publication Report on the Fifth Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR’12)
Published at https://doi.org/10.1145/2396761.2398761
Other links https://www.scopus.com/pages/publications/84871083828
Downloads
2396761.2398761 (Final published version)
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